在西太平洋地区使用隐性类分析识别疫苗犹子组
Yongjin Choi1, Kathy Leung2,3,4,5, Joseph T Wu2,3,4,5
1Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. Yongjin.Choi@lshtm.ac.uk.
NPJ vaccines
|February 12, 2025
概括
疫苗犹影响了西太平洋地区的COVID-19疫苗推广. 识别特定的犹不决的群体,如受教育程度较低的员工和年轻人,可以制定量身定制的公共卫生战略.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 社会科学 社会科学 社会科学
背景情况:
- 对于疫苗的犹是广泛接种COVID-19疫苗的重要障碍.
- 对各种犹不决的人群的有限理解阻碍了西太平洋地区有效的公共卫生干预.
研究的目的:
- 在西太平洋地区对疫苗犹不决的人口进行分析.
- 为了确定具有较低COVID-19疫苗和助推剂接受率的特定子组.
主要方法:
- 对多国调查数据 (2021-2022) 进行固定效应潜伏类分析.
- 涉及12个国家:柬埔寨,越南,老民主共和国,日本,韩国共和国,马来西亚,菲律宾,蒙古,斐济,所罗门群岛,加和瓦努阿图.
- 确定了9个不同的潜伏类别的疫苗犹的个人.
主要成果:
- 确定了9个潜在类别,包括"留在家里的母亲"",高中教育的员工"和"大学教育的年轻人".
- 与"大学受过教育的老年人"相比,大多数确定的类别中,COVID-19疫苗接受率和增强剂的吸收率明显较低.
- 在多个国家观察到共享的风险组,如"高中教育的员工"和"高中教育的年轻人".
结论:
- 小组分析对于理解疫苗犹的复杂性至关重要.
- 需要量身定制的,国家特定的战略,以有效地解决不同疫苗犹的个人资料.
- 有针对性的干预措施可以改善COVID-19疫苗,并促进弱势群体的接种.
相关概念视频
Bias in Epidemiological Studies
139
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
139
Statistical Methods for Analyzing Epidemiological Data
291
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
291
Confounding in Epidemiological Studies
130
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
130
Study Designs in Epidemiology
169
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
169
Surveys
14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K
Longitudinal Studies
123
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
123


